TY  - JOUR
T1  - A Design of Multi-Head Attention Neural Network for UWB NLOS Identification in Outdoo
AU  - Lee, Kyung-Bo 
AU  - Lee, JiYe 
AU  - Park, Jongho 
AU  - Ko, Young-Bae 
JO  - The Journal of Korean Institute of Communications and Information Sciences
PY  - 2024
DA  - 2024/1/1
DO  - 10.7840/kics.2024.49.3.361
KW  - UWB
KW  - Multi-head attention
KW  - CIR
KW  - LOS/NLOS
AB  - In this paper, we introduce a method of classifying UWB CIR data into LOS and NLOS environments by applying the multi-head attention algorithm. The 1016 UWB CIR values sampled at 100 ms intervals are divided into 100 segments. By comparing the classification time and accuracy of the LSTM-CNN algorithm and the multi-head attention algorithm, it is shown that the latter achieved a classification accuracy of 94.41% for LOS/NLOS environments, outperforming the LSTM-CNN model